Senior Data Engineer x Analyst

Singapore, Central Singapore, Singapore

QCP Capital

Large volume trading in volatile markets requires personalised solutions, round-the-clock support and unparalleled execution. We offer a range of tailored

View company page

Established in 2017, QCP Capital is a digital assets trading firm and global market maker in options, headquartered in Singapore.

As one of the first digital assets trading firms in Singapore, QCP Capital brings to clients deep expertise gained from thriving through multiple market cycles. Our mission is to unlock new opportunities for clients at the forefront of crypto markets through providing institutional-grade liquidity, infrastructure and research.

An active early-stage crypto and blockchain investor, QCP Capital’s portfolio includes core trading infrastructure, exchanges, data and token ecosystems. QCP Capital is supported by over 70 professionals in trading, business development, operations, risk and compliance teams. More information can be found at qcp.capital.

Are you a data expert with a keen interest in AI/ML? We're seeking a Senior Data Engineer x Analyst who is passionate about leveraging data to drive strategic decision-making. In this role, you'll have the exciting opportunity to architect the future of our data infrastructure and analytics solutions.

Responsibilities

  • Design, construct, install, test, and maintain data management systems
  • Ensure systems meet business requirements and industry practices
  • Integrate up-and-coming data management and software engineering technologies into existing data infrastructures
  • Develop and implement advanced statistical techniques to solve complex problems, extract actionable insights to drive data-driven decisions, and improve processes to achieve business goals. 
  • Translate business requirements into data modeling and visualization, build data pipelines if necessary
  • Utilize AWS cloud services for efficient data handling and analytics, propose usage of data warehouse, and business intelligence tools, and integrate with existing platforms and workflows

Requirements

  • At least 3 years of experience working in a relevant role
  • Bachelor’s or MSc from a renowned University in a related field
  • Proven experience in data analysis and pipeline construction; Experience with big data tools (Hadoop, Spark, Kafka, etc.)
  • Strong knowledge of AWS cloud services and database technologies
  • Proficient in SQL, Python, and other programming languages
  • Excellent analytical skills to work on complex, cross-functional projects
  • Ability to translate business requirements into non-technical and technical terms
  • Bonus:
    • Design, develop, and operate data pipelines to provide high-quality datasets for analytical and AI/ML use cases
    • Demonstrate a strong numerical aptitude and a comfort level working with extensive datasets

Benefits

The Environment We Offer

As a growing firm with a tightly-knit team, we respect and listen to all our employees. You will get the chance to make an impact by having your voice heard by everyone, including the management.

Our employees enjoy a high level of autonomy at work. We focus on substance, not form - as long as you can perform, you will be recognized and rewarded. We are also dedicated to supporting our staff and ensuring they develop holistically to maximize their potential in the long- term.

We also provide flexible working arrangement as required and a casual and fun environment to boot!

Apply now Apply later
  • Share this job via
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: AWS Big Data Blockchain Business Intelligence Crypto Data analysis Data management Data pipelines Data warehouse Engineering Hadoop Kafka Machine Learning Pipelines Python Research Spark SQL Statistics

Perks/benefits: Flex hours

Region: Asia/Pacific
Country: Singapore
Job stats:  2  1  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.